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Vivek Natarajan
AI Researcher, Google
Vivek Natarajan is a Research Scientist at Google with a strong focus on large language models (LLMs) and biomedicine, leading groundbreaking AI research.
Vivek is renowned for developing Med-PaLM, Med-PaLM 2, Med-PaLM M, and AMIE, cutting-edge AI systems with exceptional performance in medical applications.
His work has been recognized in prestigious publications like Nature, Nature Medicine, and conferences such as CVPR, ICCV, and NeurIPS.
Vivek's contributions extend to regulated medical devices like Mammo Reader and DermAssist, revolutionizing breast cancer detection and skin condition classification.
Prior to Google, Vivek excelled at Facebook AI Research, accumulating patents, awards, and deploying AI models to serve millions of users.
With a strong academic background, Vivek pursued Masters in Computer Science at The University of Texas at Austin and B.Tech in Electronics and Communication Engineering at NIT Tiruchirappalli.
His experience spans various roles including Faculty at Harvard T.H. Chan School of Public Health, AI Researcher at Meta, Venture Fellow at Healthspan Capital, and Teaching Assistant at UT Austin.
Vivek's research interests include multimodal assistant systems, diagnostic dialogue, and AI applications in healthcare, showcasing a versatile skillset at the forefront of technological innovation.
Highlights
Incredibly delighted to introduce Med-Gemini, our latest family of multimodal models for medicine.
Building on Gemini’s core capabilities, Med-Gemini models are specialized for
- advanced reasoning with seamless web-search integration
- complex multimodal understanding spanning 1 million+ context tokens
The results are promising. We evaluate Med-Gemini on 14 medical benchmarks spanning text, images, surgical videos, EHRs, waveforms, genomics and more, establishing new SoTA on 10 of them, and surpassing the GPT-4 model family on every benchmark where a direct comparison is viable, often by a wide margin.
On the popular MedQA (USMLE) benchmark, Med-Gemini achieves SoTA performance of 91.1% accuracy. On 7 multimodal medical benchmarks, Med-Gemini improves over GPT-4V by an average relative margin of 44.5%.
Perhaps the most exciting advance is the biomedical applications unlocked by long-context capabilities of Med-Gemini (currently beyond the capabilities of other popular models)
In addition to SoTA results on long-context EHR and video tasks, we also include qualitative demonstrations of what such Med-Gemini capabilities might potentially enable including:
- supporting multimodal diagnostic conversations
- facilitating improved clinician-EHR interactions
- accelerating biomedical research with the ability to summarize and generate insights from dozens of full content research articles.
Our paper has more details including expert level performance on real-world relevant tasks such as medical summarization.
In due course, we expect the capabilities to be available via Google Cloud MedLM APIs.
Zooming out, its incredible to see how far we have come in less than a year.
We have gone from LLMs that were only doing single-turn medical QA (Med-PaLM 2) to large multimodal models (LMMs) that can natively understand and intelligently converse about biomedical data spanning millions+ tokens and perform complex tasks at expert level.
At the same time, capabilities advancements go hand-in-hand with reliability demonstrations for biomedicine. We are excited to keep pushing the frontiers.
Paper link - https://lnkd.in/geJWPd9X
A real privilege to work with incredible team mates and leads spanning Google Research Google DeepMind Google Health Google Cloud Verily including Alan Karthikesalingam MD PhD Tao Tu Khaled Saab Juraj Gottweis Wei-Hung Weng Ryutaro Tanno S. Sara Mahdavi David Stutz Ellery Wulczyn Yong Cheng Tomer Golany Mike Schäkermann Jimmy Hu Tim Strother Chunjong Park David Barrett Elahe Vedadi Fan Zhang Juan Manuel Zambrano Chaves Anil Palepu Daniel McDuff Luyang Liu Christopher Semturs Nenad Tomašev Aishwarya Kamath Natasha Latysheva Jean-Baptiste ALAYRAC Basil Mustafa Neil Houlsby Philip Mansfield Jonathan Krause Kavita Kulkarni Renée Wong Ehud Rivlin Yossi Matias Joëlle Barral Greg Corrado Dale Webster Ewa Dominowska Jonathon Shlens S. M. Ali Eslami Claire Cui Oriol Vinyals Koray Kavukcuoglu James Manyika Jeff Dean Demis Hassabis
Delighted to share our latest Google Research Google DeepMind Google Health preprint, Towards Accurate Differential Diagnosis with Large Language Models.
We introduced a new LLM optimized for diagnostic reasoning with conversational and collaborative capabilities (LLM for DDx) as well as an intuitive UX tool for clinicians to interact with it.
We then conducted a randomized study with 20 experienced board-certified internists using 302 clinicopathologic conferences (CPC) (published since 1924 by NEJM). The internists were randomized to either LLM or usual standard assistance (web use and other reference tools).
What we observed was that using the LLM led to significant assistive effect and improvements in diagnostic accuracy of the clinicians in solving these complex case challenges.
At the same time, we also saw that clinicians + LLM performance was below that of the LLM alone on this benchmark suggesting more work was needed with the AI as well as the UX tool to be as helpful as possible to our clinicians.
NEJM CPCs are not representative of everyday clinical practice. They are unusual case reports in only a few hundred individuals so offer limited scope for probing important issues like equity or fairness.
Nonetheless, zooming out, this study points to a future where the standard of care will no longer be a clinician alone but a clinician augmented and aided by an LLM specialized for the safety critical medical domain. More to come soon!
With a fantastic team including Daniel McDuff Mike Schäkermann Tao Tu Anil Palepu Amy Wang Jake Garrison Karan Singhal Shekoofeh Azizi Yun Liu Kavita Kulkarni S. Sara Mahdavi Christopher Semturs Dale Webster Sushant Prakash Juro Gottweis Joëlle Barral Greg Corrado Yossi Matias Jacob Sunshine Alan Karthikesalingam MD PhD
https://lnkd.in/gwsT6znb
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Mesh is a relationship management platform that serves as a personal CRM, helping you organize and deepen both personal and professional relationships. It functions as a beautiful rolodex and CRM available on iPhone, Mac, Windows, and web, built automatically to help manage your network efficiently. Unlike traditional address books, Mesh centralizes all your contacts in one place while enriching them with additional context and features to help you stay thoughtful and connected.
Mesh works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Mesh offers several powerful features including:
- Comprehensive Contact Management: Automatically collects contact data and enriches profiles to keep them up-to-date
- Network Strength: Visualizes the strength of your relationships relative to others in your network
- Timeline: Shows your relationship history with each contact
- Smart Search: Allows you to search using natural language like "People I know at the NYT" or "Designers I've met in London"
- Reminders and Notes: Helps you remember important details about contacts
- Home Feed: Displays updates about your network including job changes, news mentions, and birthdays
- Groups: Organizes contacts into meaningful categories
- Nexus AI: An AI navigator that helps you derive insights from your network, such as finding contacts who have been to specific places or work at particular companies
Mesh is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
Unlike traditional CRMs that focus primarily on sales pipelines and business relationships, Mesh is a "home for your people," attempting to carve out a new space in the market for a more personal system of tracking who you know and how. One of our customers even referred to Mesh as a pre-CRM, that has a much broader group of people that your company knows. Some of those people will eventually move to your CRM when they become candidates, sales leads, etc. Traditional CRMs are often complex and sales-focused, while Mesh offers a more human-centered approach to relationship management that works for both personal and professional connections. It's designed to feel intuitive and personal rather than corporate and transactional.
Mesh takes privacy seriously. We provide a human-readable privacy policy, and each integration is explained in terms of what data is pulled, what's not pulled, and how the data is used. Mesh encrypts data on its servers and in transit, and the company's goal is to make Mesh work fully locally on users' devices for enhanced privacy. Mesh is also SOC 2 Type 2 certified.
Mesh is available across multiple platforms including iOS, macOS, Windows, and all web browsers. Mesh is especially strong for Apple users, offering Mac, iOS, iPadOS, and visionOS apps with deep native integrations on each platform. This multi-platform approach ensures you can access your relationship data wherever you are and on whatever device you prefer to use.
Mesh offers tiered pricing options to suit different needs. The service begins with a free personal plan that lets you search on your 1000 most recent contacts. Mesh offers a Pro Plan ($10 when billed annually) with unlimited contacts. Mesh for Teams starts at $49/month/seat. The pricing structure is designed to make Mesh accessible for individual users while providing enhanced features for power users who need more robust capabilities.
Yes, Mesh offers extensive integration capabilities. Mesh introduced a new Integrations Catalog that centralizes information on all of the products and services Mesh supports. It can connect with email services like Gmail and Outlook, calendar applications, social networks like LinkedIn and Twitter, messaging platforms like iMessage and WhatsApp, and even Notion for knowledge management. Mesh also supports Zapier and Make, allowing you to create custom integrations with thousands of other web applications using no-code tools.
Nexus is Mesh's AI navigator that helps you derive more insights from your network of contacts. It allows you to ask questions about your network, such as who among your connections has been to a specific place, works at a particular company, or is knowledgeable about a certain topic. Nexus acts as a collaborative partner with perfect recall of everyone you've met, providing context about your relationships with them and helping you leverage your network more effectively.
Mesh makes it much easier to stay in touch with the people you care about. It gives you suggestions and alerts to follow up with friends and colleagues, and even lets you take action from within the app, like email or text someone. Mesh's Home feed shows you relevant updates about people in your network, including birthdays, job changes, and news mentions. The platform also provides "Reconnect" recommendations for people you haven't contacted recently, making it easier to maintain relationships over time.
Mesh is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Mesh stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Mesh excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
Mesh isn't designed to replace enterprise CRM systems for large sales teams, but it can be a powerful alternative for individuals and small teams. Many people use Mesh instead of Salesforce, Hubspot, and Pipedrive. Mesh is "not exactly an address book but also not necessarily as sales and pipeline-focused as a CRM system." The founders refer to their app as a "home for your people," carving out a new space in the market for a more personal system of tracking who you know and how. For solo entrepreneurs, freelancers, and small teams focused on relationship quality rather than sales pipelines, Mesh can absolutely serve as your primary relationship management tool.
Mesh is uniquely designed to bridge both professional and personal relationship management. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh helps you organize your contacts, communications, and commitments in one centralized place. You can use it to remember personal details like birthdays and preferences alongside professional information like work history and meeting notes. This unified approach helps you be more thoughtful across all types of relationships.
Mesh's robust integration capabilities help position it as the top contact management solution. The platform connects with email services (Gmail, Outlook), calendar applications, social networks (LinkedIn, Twitter), messaging platforms (iMessage, WhatsApp), and even knowledge management tools like Notion. Mesh has expanded its integrations catalog to include Zapier and Make.com support, allowing connections to thousands of other apps. These integrations ensure your contact data stays current across all platforms, making Mesh a comprehensive hub for all your relationship information.
Mesh's AI capabilities are at the forefront of personal CRM innovation. Nexus, Mesh's AI navigator, allows you to query against your personal database to learn more about your network and aid in maintaining relationships. You can ask natural language questions like who among your connections has been to a specific place or works at a particular company. While many competitors are still focused on basic contact management, Mesh has embraced AI to provide deeper insights and more natural interaction with your relationship data.
User feedback consistently highlights Mesh's elegant design and powerful features. Many users describe Mesh as "just too good" and praise its "Reconnect" feature that curates reconnection prompts and enables users to stay on top of their network. Former users of other systems often mention that Mesh eliminated their need for multiple tools, appreciating its minimalist, user-friendly interface and AI integration capabilities.
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